/packages/modules/NeuralNetworks/tools/test_generator/tests/P_variation/ |
D | stdout.txt.expect | 22 auto op1 = model->addOperand(&type0); 23 auto op2 = model->addOperand(&type1); 24 auto op3 = model->addOperand(&type2); 25 auto param = model->addOperand(&type3); 26 auto param1 = model->addOperand(&type3); 27 auto param2 = model->addOperand(&type3); 28 auto act = model->addOperand(&type3); 29 auto layout = model->addOperand(&type3); 30 auto op4 = model->addOperand(&type0); 95 auto op1 = model->addOperand(&type0); [all …]
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_implicit_variation/ |
D | stdout.txt.expect | 22 auto op1 = model->addOperand(&type0); 23 auto op2 = model->addOperand(&type1); 24 auto op3 = model->addOperand(&type2); 25 auto param = model->addOperand(&type3); 26 auto param1 = model->addOperand(&type3); 27 auto param2 = model->addOperand(&type3); 28 auto act = model->addOperand(&type3); 29 auto layout = model->addOperand(&type3); 30 auto op4 = model->addOperand(&type0); 95 auto op1 = model->addOperand(&type0); [all …]
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_naming/ |
D | stdout.txt.expect | 22 auto op1 = model->addOperand(&type0); 23 auto op2 = model->addOperand(&type1); 24 auto op3 = model->addOperand(&type2); 25 auto param = model->addOperand(&type3); 26 auto param1 = model->addOperand(&type3); 27 auto param2 = model->addOperand(&type3); 28 auto act = model->addOperand(&type3); 29 auto layout = model->addOperand(&type3); 30 auto op4 = model->addOperand(&type0); 95 auto op1 = model->addOperand(&type0); [all …]
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_backward_compatibility_float/ |
D | stdout.txt.expect | 28 auto input = model->addOperand(&type0); 29 auto input_to_input_weights = model->addOperand(&type1); 30 auto input_to_forget_weights = model->addOperand(&type1); 31 auto input_to_cell_weights = model->addOperand(&type1); 32 auto input_to_output_weights = model->addOperand(&type1); 33 auto recurrent_to_input_weights = model->addOperand(&type2); 34 auto recurrent_to_forget_weights = model->addOperand(&type2); 35 auto recurrent_to_cell_weights = model->addOperand(&type2); 36 auto recurrent_to_output_weights = model->addOperand(&type2); 37 auto cell_to_input_weights = model->addOperand(&type3); [all …]
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_internal/ |
D | stdout.txt.expect | 20 auto o0 = model->addOperand(&type0); 21 auto o1 = model->addOperand(&type0); 22 auto act = model->addOperand(&type1); 23 auto o2 = model->addOperand(&type0); 24 auto p0 = model->addOperand(&type0); 25 auto t5 = model->addOperand(&type0); 26 auto t6 = model->addOperand(&type0); 27 auto i2 = model->addOperand(&type0); 28 auto t0 = model->addOperand(&type0); 29 auto t1 = model->addOperand(&type0); [all …]
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/packages/modules/NeuralNetworks/runtime/test/ |
D | TestMemory.cpp | 68 auto a = model.addOperand(&matrixType); in TEST_F() 69 auto b = model.addOperand(&matrixType); in TEST_F() 70 auto c = model.addOperand(&matrixType); in TEST_F() 71 auto d = model.addOperand(&matrixType); in TEST_F() 72 auto e = model.addOperand(&matrixType); in TEST_F() 73 auto f = model.addOperand(&scalarType); in TEST_F() 131 auto a = model.addOperand(&matrixType); in TEST_F() 132 auto b = model.addOperand(&matrixType); in TEST_F() 133 auto c = model.addOperand(&matrixType); in TEST_F() 134 auto d = model.addOperand(&matrixType); in TEST_F() [all …]
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D | TestFailingDriver.cpp | 109 uint32_t f = conditionModel.addOperand(&floatType); in TEST_F() 110 uint32_t b = conditionModel.addOperand(&boolType); in TEST_F() 111 uint32_t out = conditionModel.addOperand(&boolType); in TEST_F() 120 uint32_t f = bodyModel.addOperand(&floatType); in TEST_F() 121 uint32_t b = bodyModel.addOperand(&boolType); in TEST_F() 122 uint32_t out = bodyModel.addOperand(&floatType); in TEST_F() 131 uint32_t fInput = model.addOperand(&floatType); in TEST_F() 132 uint32_t bInput = model.addOperand(&boolType); in TEST_F() 133 uint32_t fTmp = model.addOperand(&floatType); in TEST_F() 134 uint32_t fSqrt = model.addOperand(&floatType); in TEST_F() [all …]
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D | TestCompliance.cpp | 70 auto op1 = model.addOperand(&kTypeTensorFloatRank0); in TEST_F() 71 auto op2 = model.addOperand(&kTypeTensorFloatRank0); in TEST_F() 72 auto op3 = model.addOperand(&kTypeTensorFloat); in TEST_F() 84 auto op1 = model.addOperand(&kTypeTensorFloat); in TEST_F() 85 auto op2 = model.addOperand(&kTypeTensorFloat); in TEST_F() 86 auto op3 = model.addOperand(&kTypeTensorFloatRank0); in TEST_F() 98 auto op1 = model.addOperand(&kTypeTensorFloat); in TEST_F() 99 auto op2 = model.addOperand(&kTypeTensorFloat); in TEST_F() 100 auto op3 = model.addOperand(&kTypeTensorFloatRank0); in TEST_F() 101 auto op4 = model.addOperand(&kTypeTensorFloat); in TEST_F() [all …]
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D | TestMemoryInternal.cpp | 127 auto a = model.addOperand(&matrixType); in TEST_F() 128 auto b = model.addOperand(&matrixType); in TEST_F() 129 auto c = model.addOperand(&matrixType); in TEST_F() 130 auto d = model.addOperand(&matrixType); in TEST_F() 131 auto e = model.addOperand(&matrixType); in TEST_F() 132 auto f = model.addOperand(&scalarType); in TEST_F() 215 auto op1 = model.addOperand(&type0); in TEST_F() 216 auto op2 = model.addOperand(&type1); in TEST_F() 217 auto op3 = model.addOperand(&type2); in TEST_F() 218 auto pad0 = model.addOperand(&type3); in TEST_F() [all …]
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D | TestControlFlow.cpp | 54 uint32_t i = conditionModel.addOperand(&counterType); in TEST_F() 55 uint32_t n = conditionModel.addOperand(&counterType); in TEST_F() 56 uint32_t out = conditionModel.addOperand(&boolType); in TEST_F() 65 uint32_t i = bodyModel.addOperand(&counterType); in TEST_F() 66 uint32_t n = bodyModel.addOperand(&counterType); in TEST_F() 69 uint32_t iOut = bodyModel.addOperand(&counterType); in TEST_F() 79 uint32_t n = model.addOperand(&counterType); in TEST_F() 82 uint32_t iOut = model.addOperand(&counterType); in TEST_F()
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D | TestTrivialModel.cpp | 72 auto a = model->addOperand(&matrixType); in CreateAddTwoTensorModel() 73 auto b = model->addOperand(&matrixType); in CreateAddTwoTensorModel() 74 auto c = model->addOperand(&matrixType); in CreateAddTwoTensorModel() 87 auto a = model->addOperand(&matrixType); in CreateAddThreeTensorModel() 88 auto b = model->addOperand(&matrixType); in CreateAddThreeTensorModel() 89 auto c = model->addOperand(&matrixType); in CreateAddThreeTensorModel() 90 auto d = model->addOperand(&matrixType); in CreateAddThreeTensorModel() 91 auto e = model->addOperand(&matrixType); in CreateAddThreeTensorModel() 292 auto a = modelBroadcastAdd2.addOperand(&matrixType); in TEST_F() 293 auto b = modelBroadcastAdd2.addOperand(&matrixType2); in TEST_F() [all …]
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D | TestUnknownDimensions.cpp | 198 auto addOperand = [&model, &getDimForCompile, scale](OperandParams params, in TestOne() local 205 return model.addOperand(&matrixTypeWithPotentiallyUnknownDims); in TestOne() 207 auto inputOpd0 = addOperand(paramsForInput0, &input0Scope); in TestOne() 208 auto inputOpd1 = addOperand(paramsForInput1, &input1Scope); in TestOne() 209 auto intermediateOpd0 = addOperand(OperandParams{ in TestOne() 213 auto constantOpd0 = addOperand(paramsForConst, &constantScope); in TestOne() 214 auto outputOpd0 = addOperand(paramsForOutput, &outputScope); in TestOne() 224 auto activationOpd0 = model.addOperand(&scalarType); in TestOne()
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D | TestIntrospectionControl.cpp | 211 auto op1 = model->addOperand(&type0); in createSimpleAddModel() 212 auto op2 = model->addOperand(&type0); in createSimpleAddModel() 213 auto act = model->addOperand(&type1); in createSimpleAddModel() 214 auto op3 = model->addOperand(&type0); in createSimpleAddModel() 1145 auto op1 = model->addOperand(&type0); in createAddMaxModel() 1146 auto op2 = model->addOperand(&type0); in createAddMaxModel() 1147 auto act = model->addOperand(&type1); in createAddMaxModel() 1148 auto op3 = model->addOperand(&type0); in createAddMaxModel() 1149 auto op4 = model->addOperand(&type0); in createAddMaxModel() 1150 auto op5 = model->addOperand(&type0); in createAddMaxModel() [all …]
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D | TestMemoryDomain.cpp | 164 uint32_t input0 = model->addOperand(&tensorTypeFullySpecified); in createTestModel() 165 uint32_t input1 = model->addOperand(&tensorTypeFullySpecified); in createTestModel() 166 uint32_t input2 = model->addOperand(&tensorTypeFullySpecified); in createTestModel() 167 uint32_t temp = model->addOperand(&tensorTypeFullySpecified); in createTestModel() 168 uint32_t output0 = model->addOperand(&tensorTypeFullySpecified); in createTestModel() 169 uint32_t output1 = model->addOperand(&tensorTypeDynamicShape); in createTestModel() 170 uint32_t act = model->addOperand(&actType); in createTestModel()
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D | TestTelemetry.cpp | 54 auto a = modelAdd2.addOperand(&matrixType); in TEST_F() 55 auto b = modelAdd2.addOperand(&matrixType); in TEST_F() 56 auto c = modelAdd2.addOperand(&matrixType); in TEST_F()
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_backward_compatibility_quant8/ |
D | stdout.txt.expect | 22 auto op1 = model->addOperand(&type0); 23 auto op2 = model->addOperand(&type0); 24 auto op3 = model->addOperand(&type1); 25 auto pad0 = model->addOperand(&type2); 26 auto stride = model->addOperand(&type2); 27 auto channelMultiplier = model->addOperand(&type2); 28 auto act = model->addOperand(&type2); 29 auto op4 = model->addOperand(&type3);
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/packages/modules/NeuralNetworks/runtime/test/fibonacci_extension/ |
D | FibonacciExtensionTest.cpp | 135 uint32_t inputZeros = model->addOperand(&inputType); in addNopOperation() 143 uint32_t activation = model->addOperand(&scalarType); in addNopOperation() 152 uint32_t fibonacciInput = model->addOperand(&inputType); in createModel() 153 uint32_t fibonacciOutput = model->addOperand(&outputType); in createModel() 155 uint32_t modelInput = addNopOperations ? model->addOperand(&inputType) : fibonacciInput; in createModel() 156 uint32_t modelOutput = addNopOperations ? model->addOperand(&outputType) : fibonacciOutput; in createModel() 289 uint32_t input1 = mModel.addOperand(&inputType); in TEST_F() 290 uint32_t input2 = mModel.addOperand(&inputType); // Extra input. in TEST_F() 291 uint32_t output = mModel.addOperand(&outputType); in TEST_F() 308 uint32_t input = mModel.addOperand(&inputType); in TEST_F() [all …]
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_implicit_parameter/ |
D | stdout.txt.expect | 25 auto i0 = model->addOperand(&type0); 26 auto param = model->addOperand(&type4); 27 auto param1 = model->addOperand(&type5); 28 auto o1 = model->addOperand(&type1); 107 auto i0 = model->addOperand(&type0); 108 auto param2 = model->addOperand(&type4); 109 auto param3 = model->addOperand(&type5); 110 auto o2 = model->addOperand(&type2); 189 auto i0 = model->addOperand(&type0); 190 auto param4 = model->addOperand(&type6); [all …]
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_quant8/ |
D | stdout.txt.expect | 22 auto op1 = model->addOperand(&type0); 23 auto op2 = model->addOperand(&type1); 24 auto op3 = model->addOperand(&type2); 25 auto pad0 = model->addOperand(&type3); 26 auto stride = model->addOperand(&type3); 27 auto act = model->addOperand(&type3); 28 auto op4 = model->addOperand(&type1);
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/packages/modules/NeuralNetworks/tools/test_generator/tests/P_float/ |
D | stdout.txt.expect | 22 auto op1 = model->addOperand(&type0); 23 auto op2 = model->addOperand(&type1); 24 auto op3 = model->addOperand(&type2); 25 auto pad0 = model->addOperand(&type3); 26 auto stride = model->addOperand(&type3); 27 auto act = model->addOperand(&type3); 28 auto op4 = model->addOperand(&type1);
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/packages/modules/NeuralNetworks/common/cpu_operations/ |
D | RNNTest.cpp | 139 inputs.push_back(model_.addOperand(&InputTy)); in BasicRNNOpModel() 141 inputs.push_back(model_.addOperand(&WeightTy)); in BasicRNNOpModel() 143 inputs.push_back(model_.addOperand(&RecurrentWeightTy)); in BasicRNNOpModel() 145 inputs.push_back(model_.addOperand(&BiasTy)); in BasicRNNOpModel() 147 inputs.push_back(model_.addOperand(&HiddenStateTy)); in BasicRNNOpModel() 149 inputs.push_back(model_.addOperand(&ActionParamTy)); in BasicRNNOpModel() 153 outputs.push_back(model_.addOperand(&HiddenStateTy)); in BasicRNNOpModel() 155 outputs.push_back(model_.addOperand(&OutputTy)); in BasicRNNOpModel()
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D | LSHProjectionTest.cpp | 51 inputs.push_back(model_.addOperand(&HashTy)); in LSHProjectionOpModel() 53 inputs.push_back(model_.addOperand(&InputTy)); in LSHProjectionOpModel() 55 inputs.push_back(model_.addOperand(&WeightTy)); in LSHProjectionOpModel() 58 inputs.push_back(model_.addOperand(&TypeParamTy)); in LSHProjectionOpModel() 81 outputs.push_back(model_.addOperand(&OutputTy)); in LSHProjectionOpModel()
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D | HashtableLookupTest.cpp | 72 inputs.push_back(model_.addOperand(&LookupTy)); in HashtableLookupOpModel() 75 inputs.push_back(model_.addOperand(&KeyTy)); in HashtableLookupOpModel() 78 inputs.push_back(model_.addOperand(&ValueTy)); in HashtableLookupOpModel() 87 outputs.push_back(model_.addOperand(&OutputOpndTy)); in HashtableLookupOpModel() 90 outputs.push_back(model_.addOperand(&HitsOpndTy)); in HashtableLookupOpModel()
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D | MultinomialTest.cpp | 48 inputs.push_back(model_.addOperand(&logitsType)); in MultinomialOpModel() 50 inputs.push_back(model_.addOperand(&samplesType)); in MultinomialOpModel() 52 inputs.push_back(model_.addOperand(&seedsType)); in MultinomialOpModel() 56 outputs.push_back(model_.addOperand(&outputType)); in MultinomialOpModel()
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D | LayerNormLSTMTest.cpp | 109 inputs.push_back(model_.addOperand(&X##OpndTy)); in LayerNormLSTMOpModel() 115 inputs.push_back(model_.addOperand(&ActivationOpndTy)); in LayerNormLSTMOpModel() 117 inputs.push_back(model_.addOperand(&CellClipOpndTy)); in LayerNormLSTMOpModel() 119 inputs.push_back(model_.addOperand(&ProjClipOpndTy)); in LayerNormLSTMOpModel() 139 outputs.push_back(model_.addOperand(&X##OpndTy)); in LayerNormLSTMOpModel()
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